Academic literature on the topic 'Dynamic force signals'

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Journal articles on the topic "Dynamic force signals"

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Zhao, Lin. "Numerical Control Lathe Cutting Force Signal On-Line Monitoring Design." Applied Mechanics and Materials 711 (December 2014): 329–32. http://dx.doi.org/10.4028/www.scientific.net/amm.711.329.

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The main research direction of Numerical control lathe cutting force signal on-line monitoring is to process real-time monitoring, using the sensor, charge amplifier, video acquisition card and computer to collect data and signal. Signal acquisition makes use of the piezoelectric sensor signals and send them to the computer in order to acquire the real-time data and display the dynamic signal so that monitor the process. Signal processing is the course that data will be collected for subsequent processing and analyzing. It includes display, filtering, correlation analysis, spectral analysis, etc. We can conclude the signal’s characteristics after the time domain and frequency domain analysis of signals.
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Park, Simon S., and Yusuf Altintas. "Dynamic Compensation of Spindle Integrated Force Sensors With Kalman Filter." Journal of Dynamic Systems, Measurement, and Control 126, no. 3 (2004): 443–52. http://dx.doi.org/10.1115/1.1789531.

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This paper presents a dynamically compensated Spindle Integrated Force Sensor (SIFS) system to measure cutting forces. Piezo-electric force sensors are integrated into the stationary spindle housing. The structural dynamic model between the cutting forces acting on the tool tip and the measured forces at the spindle housing is identified. The system is first calibrated to compensate the influence of spindle run-out and unbalance at different speeds. Using the cutting force signals measured at the spindle housing, a Kalman Filter is designed to filter the influence of structural modes on the force measurements. The frequency bandwidth of the proposed sensor system is significantly increased with the proposed sensing and the signal processing method.
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Cai, Zixiang, Mengyao Qu, Mingyang Han, et al. "Prediction and Fitting of Nonlinear Dynamic Grip Force of the Human Upper Limb Based on Surface Electromyographic Signals." Sensors 25, no. 1 (2024): 13. https://doi.org/10.3390/s25010013.

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This study aimed to predict and fit the nonlinear dynamic grip force of the human upper limb using surface electromyographic (sEMG) signals. The research employed a time-series-based neural network, NARX, to establish a mapping relationship between the electromyographic signals of the forearm muscle groups and dynamic grip force. Three-channel electromyographic signal acquisition equipment and a grip force sensor were used to record muscle signals and grip force data of the subjects under specific dynamic force conditions. After preprocessing the data, including outlier removal, wavelet denoising, and baseline drift correction, the NARX model was used for fitting analysis. The model compares two different training strategies: regularized stochastic gradient descent (BRSGD) and conjugate gradient (CG). The results show that the CG greatly shortened the training time, and performance did not decline. NARX demonstrated good accuracy and stability in dynamic grip force prediction, with the model with 10 layers and 20 time delays performing the best. The results demonstrate that the proposed method has potential practical significance for force control applications in smart prosthetics and virtual reality.
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Mativenga, P. T., and K. K. B. Hon. "An Experimental Study of Cutting Forces in High-Speed End Milling and Implications for Dynamic Force Modeling." Journal of Manufacturing Science and Engineering 127, no. 2 (2005): 251–61. http://dx.doi.org/10.1115/1.1863254.

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The characteristics of high-speed machining (HSM) dynamic milling forces was investigated. Recent studies in chip segmentation are discussed. A Mikron 700 High-Speed Machining Center was used in the end-milling of AISI H13 tool steel using PVD TiN coated two flute micrograin carbide tools. Dynamic force signals were studied using a real-time data acquisition system for spindle speeds from 3,750 to 31,500 rpm for a 6 mm dia tool. Frequency domain studies were also carried out for a larger tool of 12 mm dia for spindle speeds between 10,000 and 40,000 rpm. The trend and frequency domain aspects of the dynamic forces were evaluated and discussed. The fundamental concept of modeling cutting forces based on chip morphology is revisited. A new basis for modeling dynamic forces from the static component and harmonic contributions is presented. This approach for modeling the dynamic HSM force signal accounts for secondary harmonics.
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Stark, M., R. W. Stark, W. M. Heckl, and R. Guckenberger. "Inverting dynamic force microscopy: From signals to time-resolved interaction forces." Proceedings of the National Academy of Sciences 99, no. 13 (2002): 8473–78. http://dx.doi.org/10.1073/pnas.122040599.

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Zhao, Jian Bo. "The Design of CNC Lathe Cutting Force Signal On-Line Monitoring." Applied Mechanics and Materials 155-156 (February 2012): 526–30. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.526.

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The main task is to study the CNC lathe cutting force signal on-line monitoring system design, it mainly includes the cutting force signal acquisition, real-time monitoring and subsequent processing and analysis. Cutting force signal acquisition is the use of Kistler piezoelectric sensor signal, converted into voltage signal, and through the data acquisition board, to convert analog signals into digital signals, input to the computer, the computer real-time monitoring of machining process. Signal processing is to the acquisition of signal processing and analysis, to obtain the correct dynamic cutting force signal, to verify the stability and reliability of the whole monitoring system.
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Falta, Jan, Marcel Adorna, Tomáš Fíla, and Petr Zlámal. "DIRECT MEASUREMENT OF REACTION FORCES DURING FAST DYNAMIC LOADING." Acta Polytechnica CTU Proceedings 25 (December 6, 2019): 32–35. http://dx.doi.org/10.14311/app.2019.25.0032.

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The presented paper is focused on embedding of the serially manufactured piezo-electric impact loadcell into Open Hopkinson Pressure Bar (OHPB) and it’s modifications for a direct force measurement during dynamic loading. Conventionally, during the SHPB test dynamic force equilibrium is investigated by a comparison of the transmitted signal wave and the difference between the incident, reflected and transmitted signals measured by strain gauges [1]. However, in the experiments with specimens with low mechanical impedance, a major portion of the incident wave is reflected back on the interface between the bar and the specimen. Comparison between two-large amplitude incident and reflected pulse and a small-amplitude transmitted pulse can be influenced by large error and resulting force equilibrium can be inaccurate. Therefore, a piezo-electric quartz impact force transducer was used to directly measure the axial forces in the vicinity of the specimen end surfaces.
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LEPIARCZYK, Dariusz, Wacław GAWĘDZKI, and Jerzy TARNOWSKI. "ANALYSIS OF THE INFLUENCE OF FRICTION FORCE ON THE STRAINS OF GAS PIPELINE USING THE HILBERT-HUANG TRANSFORM." Tribologia 268, no. 4 (2016): 145–55. http://dx.doi.org/10.5604/01.3001.0010.6990.

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The aim of the study was to determine the effect of friction forces on strains of a gas pipeline pipe in conditions of static and dynamic load. The experiments were conducted on a 28-metre section of pipe laid in quartz sand haunching. The source of dynamic loads was artificially generated soil vibration of a pulse character, which can be interpreted as seismic-like waves of mining origin. The static loads were applied by means of an actuator, which allowed the setting of different values of tension force acting along the pipe axis. The dynamic strain and vibration acceleration of the pipeline were measured during the experiments at different values of tension forces. The recorded signals were subjected to the time-domain decomposition by using the Hilbert-Huang transform. The method allows for the correct decomposition of the primary signal that describes the non-stationary and nonlinear phenomena as a sum of quasi-harmonic components whose amplitudes and frequencies are the parametric functions of time. The analysis included the determination of the influence of friction force in contact between the pipe and the sand haunching on the parameters of dynamic strain signals.
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Saglam, Haci, and Ali Unuvar. "THREE-COMPONENT, STRAIN GAGE BASED MILLING DYNAMOMETER DESIGN AND MANUFACTURING." Journal of Integrated Design and Process Science: Transactions of the SDPS, Official Journal of the Society for Design and Process Science 5, no. 2 (2001): 95–109. http://dx.doi.org/10.3233/jid-2001-5208.

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In engineering applications, force measurements, particularly in machine tools, has been done widely. In this study, a dynamometer design and manufacturing, Strain Gage based, tree-component, computer linked, were carried out to measure cutting forces in milling. This dynamometer can be used in static force measurements and also in dynamic force measurements in planning and grinding machines. Strain gages bonded on the octagonal rings have been used for sensing of the force signals. The analogue force signals obtained from three-channels have been amplified and converted into digital signals via a data acquisition card and recorded in a computer. To test the dynamometer, face-milling operation has been made. It has been observed that, the cutting forces recorded synchronously from the tests have corresponded to the calculated values.
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Harris, Andrew R., Pamela Jreij, and Daniel A. Fletcher. "Mechanotransduction by the Actin Cytoskeleton: Converting Mechanical Stimuli into Biochemical Signals." Annual Review of Biophysics 47, no. 1 (2018): 617–31. http://dx.doi.org/10.1146/annurev-biophys-070816-033547.

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Force transmission through the actin cytoskeleton plays a central role in cell movements, shape change, and internal organization. Dynamic reorganization of actin filaments by an array of specialized binding proteins creates biochemically and architecturally distinct structures, many of which are finely tuned to exert or resist mechanical loads. The molecular complexity of the actin cytoskeleton continues to be revealed by detailed biochemical assays, and the architectural diversity and dynamics of actin structures are being uncovered by advances in super-resolution fluorescence microscopy and electron microscopy. However, our understanding of how mechanical forces feed back on cytoskeletal architecture and actin-binding protein organization is comparatively limited. In this review, we discuss recent work investigating how mechanical forces applied to cytoskeletal proteins are transduced into biochemical signals. We explore multiple mechanisms for mechanical signal transduction, including the mechanosensitive behavior of actin-binding proteins, the effect of mechanical force on actin filament dynamics, and the influence of mechanical forces on the structure of single actin filaments. The emerging picture is one in which the actin cytoskeleton is defined not only by the set of proteins that constitute a network but also by the constant interplay of mechanical forces and biochemistry.
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Dissertations / Theses on the topic "Dynamic force signals"

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Liu, Ming Ming. "Dynamic muscle force prediction from EMG signals using artificial neural networks." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/mq20875.pdf.

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Racic, Vitomir. "Experimental measurement and mathematical modelling of near-periodic human-induced dynamic force signals." Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522362.

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Martin, Kipp Alan. "BEHAVIOR AND DESIGN OF MONOTUBE SIGN SUPPORT STRUCTURES (VORTEX SHEDDING, DYNAMIC FORCES, STRAIN GAGE, FIELD TESTING, COMPUTER MODEL)." Thesis, The University of Arizona, 1985. http://hdl.handle.net/10150/291193.

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PUKHOVA, VALENTINA. "DYNAMIC ATOMIC FORCE MICROSCOPY RESOLVED BY WAVELET TRANSFORM." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/259234.

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Atomic Force Microscopy (AFM) is perhaps the most significant member of the scanning probe microscopes family and, because of its capability of working in air and liquid environments with virtually no limitations on imaging conditions and types of samples, it is definitely one of the most widely used. It has become an indispensable tool to measure mechanical properties at the nanoscale in various research contexts. Scanning probes used in AFM are micromechanical oscillators (typically cantilevers) and the theory of AFM dynamics is based on the analysis of the oscillating modes of beam resonators or the simpler spring-mass model. Cantilevers can be driven by the thermal excitation and/or an external driver. Usually cantilevers are driven near resonances corresponding to flexural eigenmodes that can be described as damped harmonic oscillators. Advanced techniques consider multifrequency excitation or band excitation to broaden the measurable events in tip-sample interactions, thus expanding the variety of sample properties that can be accessed. Multifrequency methods imply excitation and/or detection of several frequencies of the cantilever oscillations and concern the associated nonlinear cantilever dynamics. Such excitation/detection schemes provide higher resolution and sensitivity to materials properties such as the elastic constants and the sample chemical environment with lateral resolution in the nanometer range. In order to measure these parameters, information on peak force of interaction, energy dissipation and contact dynamics is required. Techniques to measure the parameters of the cantilever in the stationary regime are well established. In dynamics methods the external driver (thermal noise, piezoelectric driver, etc.) excites the cantilever and a number of techniques have been implemented to gain information from the tip-sample interactions, but usually the interaction of the tip with the surface is revealed by the modification of the average value of the amplitude, frequency or phase shift over many oscillation cycles. Reconstruction of the complete evolution of the interaction force between the tip and the sample surface during a single interaction event is not even considered. As an alternative to these well established techniques and to push further the AFM possibilities, it is important to examine the possibility of analyzing single-event or impulsive interactions. This opens the possibility to capture the information conveyed by the sensing tip in a single interaction, in contrast to the cycle average used in many dynamic techniques. The single-event interactions are basically of the impact kind, with the simultaneous excitation of many cantilever eigenmodes and/or harmonics. The averaging techniques provide superior sensibility, allowing to probe the details of force interactions down to the molecular level, but to study single-event interactions it is mandatory to provide analysis techniques that are able to characterize all excited cantilever oscillation modes at once without averaging. The temporal evolution of the amplitude, phase and frequency during few oscillation cycles of the cantilever provides information that cannot be obtained with standard methods. In the present thesis a data analysis method allowing to retrieve these quantities during an impulsive cantilever excitation is proposed. This thesis concentrates on the dynamics of the flexural modes of the thermally driven cantilever in air when its tip is excited by a single impact on the sample surface. The signal analysis is based on the combination of wavelet and Fourier transforms that can be applied to a broad class of AFM impulsive measurements. To exemplify the method, a short time interval around the jump-to-contact (JTC) transition in ambient conditions is investigated, with the aim to characterize the transient excitation of the cantilever eigenmodes before and after the impact. The experimental evidences that high-order flexural modes are excited in air upon a single impact tip–sample interaction induced by the JTC transition are presented. The way to retrieve information about the instantaneous total force act ing on the cantilever tip, contact dynamics and energy dissipation at all frequencies simultaneously, without averaging or interruption, is developed. The exploration of these transient conditions of the cantilever is not possible with dynamic techniques based on the resonant driving or using Fourier transform analysis alone. The analysis presented in this work is useful to deal with nonrepeatable experiments and to determine the exact single interaction dynamics in terms of the full cantilever spectral excitations, features that are not normally considered in dynamical AFM techniques.
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Wiser, Justin Allen. "Harmonic Resonance Dynamics of the Periodically Forced Hopf Oscillator." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1373380266.

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Kelada, Fadi Sameh Aziz. "Étude des dynamiques et de la stabilité des réseaux électriques faible inertie avec une forte pénétration de ressources renouvelables." Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALT065.

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Les systèmes électriques évoluent de manière significative en raison de facteurs économiques, géopolitiques et environnementaux, notamment l'intégration croissante de sources d'énergie renouvelable (RES) interfacées par des convertisseurs électroniques de puissance, connus sous le nom de ressources basées sur des onduleurs (IBR). Ce passage de systèmes dominés par des machines synchrones (SM) à des systèmes dominés par des IBR introduit des défis tels que la réduction de l'inertie, l'intermittence et les problèmes de stabilité. Les techniques traditionnelles d'analyse et de modélisation de la stabilité, qui supposent des dynamiques plus lentes inhérentes aux SM, sont inadéquates pour les dynamiques rapides des IBR. La dominance émergente des IBR nécessite le développement de modèles détaillés de transitoires électromagnétiques (EMT), qui sont intensifs en calcul mais essentiels pour capturer les dynamiques rapides des systèmes électriques modernes. Les cadres de classification de la stabilité existants, historiquement basés sur des systèmes dominés par les SM, sont en cours de révision pour incorporer les influences des IBR, introduisant de nouvelles catégories de stabilité comme la stabilité pilotée par convertisseur (CDS). Ce travail explore de nouvelles perspectives sur les interactions entre les SM, les dynamiques des unités IBR et les dynamiques des réseaux, qui ont été négligées dans la littérature. Il fournit un cadre complet qui est open-source et adaptable pour des topologies de systèmes électriques génériques, permettant des résultats et des analyses évolutifs. De plus, le cadre proposé est utilisé pour déterminer les allocations optimales d'inertie virtuelle et d'amortissement dans les systèmes électriques à faible inertie afin d'améliorer les métriques de stabilité de la fréquence<br>Power systems are evolving significantly due to economic, geopolitical, and environmental factors, notably the increasing integration of Renewable Energy Sources (RES) interfaced through power electronic converters, known as Inverter-Based Resources (IBR). This shift from synchronous machine (SM)-dominated systems to IBR-dominated systems introduces challenges such as reduced inertia, intermittency, and stability issues. Traditional stability analysis and modeling techniques, which assume slower dynamics inherent in SMs, are inadequate for the fast dynamics of IBRs. The emerging dominance of IBRs necessitates the development of detailed Electromagnetic Transient (EMT) models, which are computationally intensive but essential for capturing the fast dynamics of modern power systems. Existing stability classification frameworks, historically based on SM-dominated systems, are being revised to incorporate IBR influences, introducing new stability categories like Converter-Driven Stability (CDS). This work investigates novel insights into the interactions between SMs, IBR unit dynamics, and network dynamics that have been overlooked in the literature. It provides a comprehensive framework that is open-source and adaptable for generic power system topologies, allowing for scalable results and analyses. Furthermore, the proposed framework is utilized to determine optimal allocations of virtual inertia and damping in low inertia power systems to enhance frequency stability metrics
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Chatain, Cyril. "Caractérisation de la fatigue neuromusculaire par des méthodes non-linéaires appliquées aux signaux de force : considérations méthodologiques et intérêts dans différents contextes et populations." Electronic Thesis or Diss., Toulon, 2021. http://www.theses.fr/2021TOUL1007.

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La fatigue neuromusculaire est un phénomène complexe et multi-déterminé. Son évaluation nécessite généralement l’accomplissement de contractions maximales volontaires. Plus récemment, il a été proposé que certaines analyses non-linéaires (fournissant des mesures de complexité), appliquées aux signaux de force recueillis lors de contractions sous-maximales, pourraient être considérées comme de nouveaux indicateurs permettant de quantifier cette fatigue.L’objectif de ce projet de thèse était d’identifier l’intérêt des mesures non-linéaires pour quantifier la fatigue neuromusculaire chez différentes populations, en s’appuyant notamment sur le modèle de la double tâche cognitivo-motrice fatigante caractéristique des activités de la vie quotidienne. Notre première étude nous a permis de mettre en lumière, chez une population de jeunes adultes, un effet néfaste de la double tâche sur l’endurance musculaire, fournissant un cadre expérimental intéressant dans l’optique d’évaluer la capacité de certaines mesures de complexité à détecter des différences de fatigabilité. La deuxième étude, basée sur l’utilisation de la sample entropy, a révélé que la non-stationnarité des signaux de force pouvait mener à des erreurs d’interprétation concernant les changements de complexité neuromusculaire induits par la fatigue. Dans le cadre de cette étude, nous proposons une approche méthodologique permettant de limiter ce phénomène. Notre troisième étude, nous a fourni la preuve de la capacité de la recurrence quantification analysis à détecter des changements de complexité des signaux de force induits par la fatigue. Nos résultats montrent également que cette approche permet de distinguer différents profils de fatigabilité (i.e. hommes vs femmes). Ces méthodes sont actuellement utilisées dans le cadre d’une étude clinique menée chez des individus porteurs de bronchopneumopathie chronique obstructive (BPCO). Considérant le caractère systémique de cette pathologie, les mesures de complexité semblent particulièrement pertinentes dans l’objectif de détecter des altérations de la dynamique neuromusculaire engendrées par une sollicitation prolongée du système cognitivo-moteur. Nos résultats préliminaires issus des méthodes traditionnelles de quantification de la fatigue, ne permettent pour le moment pas de conclure à un effet néfaste de la double tâche majorée chez l’individu porteur de BPCO. Néanmoins, certaines mesures complexes suggèrent des modifications de la dynamique neuromusculaire induites par la fatigue, majorées par l’ajout d’un stress cognitif. Globalement, nos différents travaux montrent que les mesures de complexité sont pertinentes pour caractériser la fatigue neuromusculaire dans différents contextes. La finalisation de l’étude en cours nous permettra de mieux cerner l’intérêt de ces approches dans le contexte clinique<br>Neuromuscular fatigue is a complex and multi-determined phenomenon. Its assessment usually requires the accomplishment of maximal voluntary contractions. More recently, it has been proposed that certain non-linear analyses (providing measures of complexity), applied to force signals acquired during submaximal contractions, could be considered as new indicators to quantify this fatigue. The aim of this PhD thesis project was to identify the interest of non-linear measures to quantify neuromuscular fatigue in different populations, using fatiguing cognitivo-motordual tasks, representative of daily living activities. Our first study highlighted a detrimental effect of the dual task on muscular endurance in a population of young adults, providing an interesting experimental framework to assess the ability of some measures of complexity to detect differences in fatigability. The second study, based on the use of sample entropy, revealed that the non-stationarity of force signals could lead to misinterpretation of fatigue-induced changes in neuromuscular complexity. In this study, we propose a methodological approach to limit this phenomenon. In our third study, we demonstrated the ability of recurrence quantification analysis to detect fatigue-induced changes in the complexity of force signals. Our results also show that this approach enables the identification of different fatigability profiles (i.e. male vs. female). These methods are currently being used in a clinical study conducted in people with chronic obstructive pulmonary disease (COPD). Considering the systemic nature of this disease, complexitymeasurements seem particularly relevant to detect alterations in neuromuscular dynamics caused by prolonged solicitation of the cognitivo-motor system. Our preliminary results from traditional methods of quantifying fatigue do not yet allow us to conclude whether there is an increase of the detrimental effect of dual tasks in COPD patients. Nevertheless, some measures of complexity suggest that fatigue-induced changes in neuromuscular dynamics are increased by the addition of cognitive stress. Overall, our work shows that complexity measures are appropriate to characterise neuromuscular fatigue in different contexts. The completion of the current study will allow to better define the use of these approaches in the clinical context
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Aktosun, Erdem. "Identification of hydrodynamic forces developed by flapping fins in a watercraft propulsion flow field." ScholarWorks@UNO, 2014. http://scholarworks.uno.edu/td/1900.

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In this work, the data analysis of oscillating flapping fins is conducted for mathematical model. Data points of heave and surge force obtained by the CFD (Computational Fluid Dynamics) for different geometrical kinds of flapping fins. The fin undergoes a combination of vertical and angular oscillatory motion, while travelling at constant forward speed. The surge thrust and heave lift are generated by the combined motion of the flapping fins, especially due to the carrier vehicle’s heave and pitch motion will be investigated to acquire system identification with CFD data available while the fin pitching motion is selected as a function of fin vertical motion and it is imposed by an external mechanism. The data series applied to model unsteady lifting flow around the system will be employed to develop an optimization algorithm to establish an approximation transfer function model for heave force and obtain a predicting black box system with nonlinear theory for surge force with fin motion control synthesis.
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Ngalamou, Pideu Lucien Aimé. "Résonateur composite à base de polymère piézoélectrique pour la mesure de forces statiques : instrumentation et étude." Université Joseph Fourier (Grenoble), 1994. http://www.theses.fr/1994GRE10236.

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L'utilisation de materiaux piezoelectriques pour la mesure de contraintes mecaniques dynamiques ou quasi-statiques est une application de longue date ; cependant, l'effet piezoelectrique direct n'est intrinsequement pas adapte aux mesures de contraintes statiques. Dans ce memoire nous presentons un systeme de mesure de contraintes statiques par variation de la frequence de resonance d'un resonateur composite. Nous avons utilise un resonateur composite forme d'un element piezoelectrique (pvf#2) pris entre deux electrodes en laiton, ces electrodes etant elles-memes recouverte de deux feuilles d'elastomere. L'etude et l'analyse du comportement sous contrainte du resonateur montrent que les variations de frequence et d'amortissement de la resonance du systeme sont dues a une variation des impedances de charge de l'element piezoelectrique. Cette variation d'impedance est due essentiellement a variations des caracteristiques de l'interface pvf#2-laiton. Afin de realiser des capteurs de force statique avec le resonateur composite ou la frequence de resonance varie avec la force appliquee, nous avons developpe autour d'un micro-ordinateur une instrumentation appropriee d'etude du resonateur composite. Cette instrumentation est basee sur la mesure de la phase de l'impedance electrique du resonateur, qui presente un maximum a la resonance. Elle nous a permis de caracteriser les differentes configurations du resonateur selon les etats de surface de l'interface pvf#2-laiton. La realisation finale d'un capteur autonome passe par l'integration de celle-ci autour d'un micro-controleur
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Weng, Terry (Zhinong). "Internal signal sampling of high-speed integrated circuits using dynamic electrostatic force and force-gradient microscopy." 2005. http://hdl.handle.net/1993/20826.

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Books on the topic "Dynamic force signals"

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K, Kitagaki, Hakomori K, and United States. National Aeronautics and Space Administration., eds. Dynamic force signal processing system of a robot manipulator. National Aeronautics and Space Administration, 1987.

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Stamenova, M., and S. Sanvito. Atomistic spin-dynamics. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533046.013.7.

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This article reviews recent advances towards the development of a truly atomistic time-dependent theory for spin-dynamics. The focus is on the s-d tight-binding model [where conduction electrons (s) are exchange-coupled to a number of classical spins (d)], including electrostatic corrections at the Hartree level, as the underlying electronic structure theory. In particular, the article considers one-dimensional (1D) magnetic atomic wires and their electronic structure, described by means of the s-d model. The discussion begins with an overview of the model spin Hamiltonian, followed by molecular-dynamics simulations of spin-wave dispersion in a s-d monoatomic chain and spin impurities in a non-magnetic chain. The current-induced motion in a magnetic domain wall (DW) is also explored, along with how an electric current can affect the magnetization landscape of a magnetic nano-object. The article concludes with an assessment of spin-motive force, and especially whether a driven magnetization dynamics can generate an electrical signal.
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Bensimon, David, Vincent Croquette, Jean-François Allemand, Xavier Michalet, and Terence Strick. Single-Molecule Studies of Nucleic Acids and Their Proteins. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198530923.001.0001.

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This book presents a comprehensive overview of the foundations of single-molecule studies, based on manipulation of the molecules and observation of these with fluorescent probes. It first discusses the forces present at the single-molecule scale, the methods to manipulate them, and their pros and cons. It goes on to present an introduction to single-molecule fluorescent studies based on a quantum description of absorption and emission of radiation due to Einstein. Various considerations in the study of single molecules are introduced (including signal to noise, non-radiative decay, triplet states, etc.) and some novel super-resolution methods are sketched. The elastic and dynamic properties of polymers, their relation to experiments on DNA and RNA, and the structural transitions observed in those molecules upon stretching, twisting, and unzipping are presented. The use of these single-molecule approaches for the investigation of DNA–protein interactions is highlighted via the study of DNA and RNA polymerases, helicases, and topoisomerases. Beyond the confirmation of expected mechanisms (e.g., the relaxation of DNA torsion by topoisomerases in quantized steps) and the discovery of unexpected ones (e.g., strand-switching by helicases, DNA scrunching by RNA polymerases, and chiral discrimination by bacterial topoII), these approaches have also fostered novel (third generation) sequencing technologies.
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Rush, Rebecca M. The Fetters of Rhyme. Princeton University Press, 2021. http://dx.doi.org/10.23943/princeton/9780691212555.001.0001.

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In his 1668 preface to Paradise Lost, John Milton rejected the use of rhyme, portraying himself as a revolutionary freeing English verse from “the troublesome and modern bondage of Riming.” Despite his claim to be a pioneer, Milton was not initiating a new line of thought—English poets had been debating about rhyme and its connections to liberty, freedom, and constraint since Queen Elizabeth's reign. This book traces this dynamic history of rhyme from the 1590s through the 1670s. The book uncovers the surprising associations early modern readers attached to rhyming forms like couplets and sonnets, and it shows how reading poetic form from a historical perspective yields fresh insights into verse's complexities. The book explores how early modern poets imagined rhyme as a band or fetter, comparing it to the bonds linking individuals to political, social, and religious communities. She considers how Edmund Spenser's sonnet rhymes stood as emblems of voluntary confinement, how John Donne's revival of the Chaucerian couplet signaled sexual and political radicalism, and how Ben Jonson's verse charted a middle way between licentious Elizabethan couplet poets and slavish sonneteers. The book then looks at why the royalist poets embraced the prerational charms of rhyme, and how Milton spent his career reckoning with rhyme's allures. Examining a poetic feature that sits between sound and sense, liberty and measure, the book elucidates early modern efforts to negotiate these forces in verse making and reading.
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Book chapters on the topic "Dynamic force signals"

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Li, Zeguang, Laiping Li, and Wei Huang. "Comparative Analysis of Mathematical Models of Hydro-pneumatic Suspension Damping." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_66.

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AbstractAt present, for the study of the dynamic characteristics of the hydro-pneumatic suspension of vehicles, the elastic force is mainly modeled by the variable gas equation of state, and the damping force is modeled by thin-walled orifice theory, which only considers the turbulent flow. Here, based on expressing the whole flow field including laminar flow, transition flow, and turbulence with piecewise function, the turbulence region is modeled by the Brasius formula and thin-walled orifice theory respectively. By applying vibration signals collected from real roads, the responses of two piecewise function damping force models and traditional thin-walled orifice model of 1/4 suspension system in the time domain and frequency domain respectively are calculated. The average absolute error MAE and root mean square error RSME are used to compare them with the real upper fulcrum data of the suspension cylinder. The results show that different models can simulate suspension vibration well in the low-frequency range, but there are obvious deficiencies in the middle and high-frequency range, while the short-hole flow theoretical model in the form of a piecewise function is closer to the real value in the frequency domain.
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Castro, L., P. Viéville, and P. Lipinski. "Experimental Methodology Destined to Establish the Frequency Response Function (FRF) between a Dynamic Force and the Signals Emitted by a Piezoelectric Dynamometer." In Materials Science Forum. Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/0-87849-417-0.85.

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Racic, Vitomir, Aleksandar Pavic, and James M. W. Brownjohn. "Mathematical modelling of near-periodic jumping force signals." In Dynamics of Civil Structures, Volume 4. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9831-6_23.

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Racic, Vitomir, James M. W. Brownjohn, and Aleksandar Pavic. "Random Model of Vertical Walking Force Signals." In Topics on the Dynamics of Civil Structures, Volume 1. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2413-0_8.

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Saków, Mateusz, Krzysztof Marchelek, Arkadiusz Parus, Mirosław Pajor, and Karol Miądlicki. "Signal Prediction in Bilateral Teleoperation with Force-Feedback." In Dynamical Systems in Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96601-4_28.

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Coscia, Pasquale, Lamberto Ballan, Francesco A. N. Palmieri, Alexandre Alahi, and Silvio Savarese. "Linear Artificial Forces for Human Dynamics in Complex Contexts." In Neural Approaches to Dynamics of Signal Exchanges. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8950-4_3.

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Foss, Gary, Jessica Meloy, Mark Valentino, and Patrick Walter. "Sensors and their Signal Conditioning for Dynamic Acceleration, Force, Pressure, and Sound Applications." In Handbook of Experimental Structural Dynamics. Springer New York, 2022. http://dx.doi.org/10.1007/978-1-4614-4547-0_33.

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Foss, Gary, Jessica Meloy, Mark Valentino, and Patrick Walter. "Sensors and Their Signal Conditioning for Dynamic Acceleration, Force, Pressure, and Sound Applications." In Handbook of Experimental Structural Dynamics. Springer New York, 2020. http://dx.doi.org/10.1007/978-1-4939-6503-8_33-1.

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Stein, Alexander A., Mechthild Rutz, and Hanna Zieschang. "Mechanical Forces and Signal Transduction in Growth and Bending of Plant Roots." In Dynamics of Cell and Tissue Motion. Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-8916-2_31.

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Wiens, Gloria J., and Gustavo A. Roman. "A Mechanism Approach for Enhancing the Dynamic Range and Linearity of MEMS Optical Force Sensing." In Signal Measurement and Estimation Techniques for Micro and Nanotechnology. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9946-7_7.

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Conference papers on the topic "Dynamic force signals"

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Ayadi, Mohamed Dhia, Jawhar Aloulou, Mingyang Yu, and Olfa Kanoun. "Hybrid Multi-Layer Composites for Enhanced Dynamic-Static Force Sensing." In 2025 IEEE 22nd International Multi-Conference on Systems, Signals & Devices (SSD). IEEE, 2025. https://doi.org/10.1109/ssd64182.2025.10989968.

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Zhang, Hao, Paul Ukrainetz, Peter Nikiforuk, and Rich Burton. "Neural Adaptive Control of a MIMO Electrohydraulic Servosystem." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1275.

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Abstract Electrohydraulic servomechanisms are well known for their fast dynamic response, high power to inertia ratio, and control accuracy. If the system dynamics can be precisely described and the plant dynamics vary in the vicinity of the designed operation point, a fixed parameter controller may be designed using conventional control theory to acquire the desired output. However, for most industrial systems, it is very difficult to describe the system precisely. In addition, due to disturbances, variations of loads, and changing process dynamics, the system parameters may vary. A neural network approach, using the parallel distributed processing concept with the capability of an ever-improving performance through a dynamic learning process, provides a powerful adaptation ability; its implementation is thus quite feasible for the control of electrohydraulic servosystems. The objective of this research was to apply the neural network control architecture to a nonlinear multiple input-multiple output (MIMO) electrohydraulic servosystem to improve its position and force output performance. This objective was achieved through the use of a neural adaptive control scheme. A neuro-controller was implemented as a subsystem to control the real-time electrohydraulic system so as to track the desired signals defined by a reference model when subjected to system internal interactions and load variations. Experiments were conducted to illustrate the feasibility and benefits of the neural network approach in comparison with the traditional PID control strategies. The position and force outputs of the plant followed the reference model outputs successfully. The proposed control scheme forced the plant outputs to track those of the reference model simultaneously under changes of the load disturbances.
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Cormier, Brian, Joseph Szefi, and Luke Ionno. "Full-scale Experimental Validation of Dynamic, Centrifugally Powered, Pneumatic Actuators for Active Rotor Blade Surfaces." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9668.

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A novel actuation approach for active rotor blade surfaces is introduced. The approach utilizes the rotor centripetal acceleration to generate an internal, on-blade pressure differential that can be used for active surface actuation. The advantages of this approach include high force and displacement output with extremely little added blade weight and low electrical power requirements. An analysis of the available spanwise pressure differential is presented that has been previously experimentally validated in a full-scale whirl test of a K-MAX rotor. The development of a scaled pneumatic actuator designed to fit within a K-MAX rotor blade is then detailed. The actuator consists of miniature, three-way piezoelectric valves that control air flow into and out of actuating diaphragms. The experimental results of a full-scale whirl test are then reported. The rotational actuator is capable of following various multi-frequency command signals with frequency components up to 30 Hz, and the results suggest that actuator performance and response time could be improved with increased valve flow. A state space model of a pneumatic actuator and trailing edge flap system is then developed that captures the instantaneous air flow through the valves into the diaphragms, as well as the flap dynamics. Upon model validation using the experimental whirl test results, an analytical feasibility study is then conducted to determine the valve and diaphragm geometry requirements to power a trailing edge for both higher harmonic vibration control and primary flight control for a light-medium sized helicopter. This study assumes that the actuator must provide at least ±5° at 30 Hz for vibration control and ±20° at 6 Hz for primary control. The results of this study suggest that the actuation approach can provide sufficient torque and angular displacement at the required bandwidths provided there is adequate valve performance and a minimum pneumatic supply line diameter. Using the Darcy-Weisbach formula for flow through pipes, a minimum diameter for the supply line diameter to maintain a sufficient pressure differential is estimated given the volumetric air flow through the actuator. The effects of forward flight and varying altitude on the available pressure differential is investigated, where the azimuthal RMS pressure differential is little changed in forward flight versus hover and the available pressure differential decreases nearly in proportion to the decreasing air density with altitude. Because aerodynamic forces on active surfaces also decrease in proportion to air density, a pneumatic actuator can therefore be designed to be operable in all flight regimes. Finally, a next generation actuator design is presented that will enable high frequency, high displacement actuator performance.
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Sebastian, Anish, Parmod Kumar, Marco P. Schoen, Alex Urfer, Jim Creelman, and D. Subbaram Naidu. "Analysis of EMG-Force Relation Using System Identification and Hammerstein-Wiener Models." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4185.

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Surface Electromyographic (sEMG) signals have been exploited for almost a century, for various clinical and engineering applications. One of the most compelling and altruistic applications being, control of prosthetic devices. The study conducted here looks at the modeling of the force and sEMG signals, using nonlinear Hammerstein-Weiner System Identification techniques. This study involved modeling of sEMG and corresponding force data to establish a relation which can mimic the actual force characteristics for a few particular hand motions. Analysis of the sEMG signals, obtained from specific Motor Unit locations corresponding to the index, middle and ring finger, and the force data led to the following deductions; a) Each motor unit location has to be treated as a separate system, (i.e. extrapolation of models for different fingers cannot be done) b) Fatigue influences the Hammerstein-Wiener model parameters and any control algorithm for implementing the force regimen will have to be adaptive in nature to compensate for the changes in the sEMG signal and c) The results also manifest the importance of the design of the experiments that need to be adopted to comprehensively model sEMG and force.
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Park, Simon S., and Y. Altintas. "Dynamic Compensation of Cutting Forces Measured From the Spindle Integrated Force Sensor System." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32037.

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This paper presents a dynamically compensated Spindle Integrated Force Sensor (SIFS) system to measure cutting forces. Piezo-electric force sensors are integrated to the stationary spindle housing. The structural dynamic model between the cutting forces acting on the tool tip and the measured forces at the spindle housing is identified. The system is first calibrated to compensate the influence of spindle run-out and unbalance at different speeds. Using both the cutting force and acceleration sensor signals measured at the spindle housing, a Kalman Filter is designed to filter the influence of structural modes on the force measurements. The frequency bandwidth of the proposed sensor system is expanded from 300 Hz to about 800 Hz with the proposed sensing and the signal processing method.
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Sadek, A., M. Meshreki, and M. H. Attia. "Rectification of Piezoelectric Dynamometer Force Signals During Low Frequency Vibration Assisted Drilling." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65307.

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In vibration assisted drilling (VAD), a controlled harmonic motion is superimposed over the principal drilling feed motion in order to create an intermittent cutting state, which reduces cutting forces and temperatures, facilitates chip removal, and increases the possibility for dry machining. However, accurate force measurements during VAD operations has been a challenge especially in systems, where the force transducer is part of the vibrating mass mounted on the shaker head, due to the dynamic force errors. Conventional signal filtering and compensation techniques were found to be not applicable for attenuating undesirable VAD dynamic force components, which exist in the measured force signals at the same frequency of superimposed modulation. This research work presents a corrective dynamic model that rectifies the erroneous VAD tangential and axial force signals measured by a commercial piezoelectric dynamometer mounted on electro-magnetic shakers for the low frequency/high amplitude (LF/HA) regime. An experimental modal analysis in tangential and axial directions was conducted in order to define the transfer function of a multiple degrees of freedom VAD system mounted on a vibrating base (shaker). The rectified force is then obtained by plugging the relative motion between the dynamometer base and face measured during cutting into the system transfer function. The predicted rectified force components showed very high conformance with known impact and sinusoidal excitation forces used for validation. Moreover, the developed corrective model was capable of predicting some features in the VAD force signals that were not fully captured in the measured force signals during cutting.
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Feldman, Michael. "Time-Varying and Non-Linear Dynamical System Identification Using the Hilbert Transform." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84644.

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The objective of the paper is to explain a modern Hilbert transform method for analysis and identification of mechanical non-linear vibration structures in the case of quasiperiodic signals. This special kind of periodicity arises in experimental vibration signals. The method is based on the Hilbert transform of input and output signals in a time domain to extract the instantaneous dynamic structure characteristics. The paper focuses on the dynamic analysis and identification of three groups of dynamics systems: • Forced vibrations of linear and non-linear SDOF systems excited with quasiperiodic force signal. • Combined forced vibrations of quasiperiodic time varying linear and non-linear SDOF systems excited with harmonic signal. • Combined self-excited and forced vibrations of non-linear SDOF systems excited with harmonic signal. The study focuses on signal processing techniques for nonlinear system investigation, which enable us to estimate instantaneous system dynamic parameters (natural frequencies, damping characteristics and their dependencies on a vibration amplitude and frequency) for different kinds of system excitation.
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Sebastian, Anish, Parmod Kumar, Madhavi Anugolu, Marco P. Schoen, Alex Urfer, and D. Subbaram Naidu. "Optimization of Bayesian Filters and Hammerstein-Wiener Models for EMG-Force Signals Using Genetic Algorithm." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2658.

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Processing electromyographic (EMG) signals for force estimation has many unknown variables that can influence the outcome or interpretation of the recorded EMG signal significantly. An array of filtering methods have been proposed over the past few years with the objective to classify motion for use in prosthetic hands. In this paper, we explore the optimal parameter settings of a set of Bayesian based EMG filters with the objective to use the filtered EMG data for system identification. System identification is utilized to establish a relationship between the measured EMG data and the generated force developed by fingers in a human hand. The proposed system identification is based on nonlinear Hammerstein-Wiener models. Optimization is also applied to find the optimal parameter settings for these nonlinear models. Genetic Algorithm (GA) is used to conduct the optimization for both, the optimal parameter settings for the Bayesian filters as well as the Hammerstein-Wiener model. The experimental results and optimization analysis indicate that the optimization can yield significant improvement in data accuracy and interpretation.
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Anugolu, Madhavi, Chandrasekhar Potluri, Alex Urfer, and Marco P. Schoen. "A Motor Point Identification Technique Based on Dempster Shafer Theory." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6102.

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The objective of this work is to identify the motor point location from the obtained sEMG signals using Dempster Shafer theory (DST). The proposed technique is applied on data obtained from a male test subject. In particular, the sEMG signals and its corresponding skeletal muscle force signals from the Flexor Digitorum Superficialis are acquired at a sampling rate of 2000 Hz using a Delsys Bangnoli- 16 EMG system. The acquired sEMG signals are rectified and filtered using a Discrete Wavelet Transforms (DWT) with a Daubechies 44 mother wavelet. For the system identification, an Output Error (OE) model structure is assumed to obtain the dynamic relation between the sEMG signal and the corresponding finger force signals. Subsequently, model based probabilities and fuzzy inference based probabilities are obtained for discrete sensor locations of a sEMG sensor array. Considering these evidences, a DST based motor point location identification method is proposed. The results based on one subject show the potential of the proposed theory and approach for affectively identifying motor point locations using an array sEMG sensor.
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Zelenak, Andy, Clinton Peterson, Jack Thompson, and Mitch Pryor. "The Advantages of Velocity Control for Reactive Robot Motion." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9713.

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At the hardware level, servo drives are traditionally controlled in the position or velocity domain. Frequently, roboticists do not recognize the significance of selecting one control domain over the other. This paper argues that velocity control is the clear choice for reactive trajectory modification and online motion planning. Velocity control provides smoother motion, is more suitable for low control frequencies, more robust to control signal variation, and it reduces collision forces more effectively. The primary advantage of position control is inherent safety with regards to signal delays. To support these points, this paper presents mathematical, graphical and experimental evidence. New experimental results explore the robustness of velocity control with regards to low-frequency control signals and signal delay. The experiment is based on a cooperative manipulation task performed with stiff industrial manipulators. Position and velocity control are also directly compared using a one-DOF linear actuator force control task using total work performed as a performance metric.
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